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Image clustering comparison of two color segmentation techniques
Published 2010“…Finally, the algorithm found, which would solve the image segmentation problem.…”
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Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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Daisy species classification based on image using Convolutional Neural Network algorithm / Haris Hidayatullah Khaimuza
Published 2024“…The first objective of this study is to study the Convolutional Neural Network (CNN) algorithm in the classification of daisy species based on image. …”
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Development of seven segment display recognition using TensorFlow on Raspberry Pi
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An Improved Ensemble Deep Learning Model Based on CNN for Malicious Website Detection
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Automated music chord recognition system using Convolutional Neural Network (CNN) / Abdul Qhadir Jailani Azhari
Published 2025“…To overcome these issues, the study uses CNNs to extract features and enhance chord identification performance. …”
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Object detection in aerial images using Convolutional Neural Network (CNN) / Wan Nur Alya Athirah Wan Roshdee
Published 2024“…It also has been explained about the use of Convolutional Neural Network (CNN) in the project, the advantages and disadvantages, the implementation of the algorithm in various problem and similar works with the project title. …”
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Monkeypox disease detection using Convolutional Neural Network (CNN) / Nur Farhain Humaira Ghanami
Published 2024“…The project is to study the CNN algorithm and develop a prototype to evaluate the accuracy of monkeypox disease detection using CNN. …”
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A multilayered convolutional sparse coding framework for modeling of pooling operation of convolution neural networks
Published 2019“…Convolutional Sparse Coding (CSC) framework has been proposed recently to explain relation between Convolutional Neural Networks (CNNs) and sparse coding theory. …”
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Gender Classification: A Convolutional Neural Network Approach
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A scene invariant convolutional neural network for visual crowd counting using fast-lane and sample selective methods
Published 2023“…The proposed model is designed with single column architecture using single filter size and max pooling size. Fast lane connection and sample selective algorithms have been designed specifically to tackle the issue of vanishing gradient and enhance the quality of the model. …”
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Final Year Project / Dissertation / Thesis
